Students
Tuition Fee
EUR 36,000
Per course
Start Date
2026-10-01
Medium of studying
On campus
Duration
15 months

You've viewed 1/5 programs/universities. You can view up to 5 programs/universities

Create a free account to unlock full content!

By registering, you agree to our Privacy Statement and Terms and Conditions.

Details
Program Details
Degree
Masters
Major
Artificial Intelligence | Information Systems | Software Engineering
Area of study
Information and Communication Technologies | Engineering
Education type
On campus
Timing
Part time
Course Language
English
Tuition Fee
Average International Tuition Fee
EUR 36,000
Intakes
Program start dateApplication deadline
2026-10-01-
2027-10-01-
About Program

Program Overview


Master of Science in Information Systems Engineering and Management

The Master's program in Information Systems Engineering and Management is designed to qualify graduates to drive the digital transformation of products, services, and organizations from a business and IT perspective. The program focuses on software engineering, software quality, cloud service engineering, and AI technologies.


Program Content & Specialization

The program is divided into 5 engineering and 5 management modules, each lasting 2 weeks, over a period of 15 months. The modules are followed by a master thesis written in the company (6 months) and often used as an innovation project for the company. The overall duration is approximately 20 months.


  • Engineering Modules:
    • Digital Platforms & AI
    • Software Engineering
    • AI-supported Process and Knowledge Engineering
    • Security and Privacy Engineering
    • Elective Subjects:
      • Digital Services
      • Autonomous Robotics
  • Management Modules:
    • Marketing & Data Science
    • Finance & Value
    • Decisions & Risk
    • Innovation & Projects
    • Strategy & People

Program Structure & Academic Calendar

The program is designed for working professionals, with block lectures scheduled at intervals to allow participants to continue with demanding careers while acquiring new skills.


Key Facts

  • Structure: Part-time (but enrolled as a full-time student)
  • Duration: 15 months plus time needed for master's thesis (varies)
  • Costs: 36,000.00 € (thirty-six thousand Euro) overall
  • Language: English
  • Degree: Master of Science (M.Sc.) of the Karlsruhe Institute of Technology (KIT), 90 ECTS
  • Start: Every year in October (flexible schedule possible)
  • Application deadline: There is none. We have a rolling application process.
  • Admission requirements: First academic degree (e.g., Bachelor, Master, or Diploma), at least 2 years of professional experience, English language proficiency.

Academic Requirements & Admission Statutes

  • Academic Requirements:
    • University degree in a relevant subject
    • Professional experience (at least 1-2 years) & current employment
    • English proficiency
  • Admission Statutes: Available for download (German PDF)

Program Directors & Faculties

The program is led by:


  • Prof. Dr. Andreas Oberweis
  • Prof. Dr. Ralf Reussner
  • Prof. Dr. Martin E. Ruckes

Economic Sector & Career Perspectives

Graduates can find positions in various industries, including:


  • Information/Communication Technology Manager
  • IT Coordinator/IT Consultant
  • IT Service Manager/IT Integration Manager
  • Product Manager
  • Project Manager
  • Engineers (e.g., in Product Development, Production)

Career Perspectives after Graduation

The ongoing digitalization of the economy, industry, and society is increasing the demand for skilled workers. Various fields of activity are opening up in high-tech industry, manufacturing companies, small and middle-sized companies, as well as IT start-ups and service companies, especially with regard to digital services and industry 4.0.


Specializations

The program offers two specializations:


  • Digital Services: Focuses on immediate globalization capabilities, agile development and deployment, individualization of delivered solutions, availability of “Big Data” and sophisticated AI-based analytics.
  • Autonomous Robotics: Focuses on designing and creating in a production or logistics context, smart manufacturing and automation with Industry 4.0, cloud, fog robotics, designing, creating, and controlling autonomous robots, controlling of collaborating robots (including lab).
See More